Travel Burden of Radiation Therapy in the Philippines
Travel burden negatively impacts the stage at diagnosis, treatment, outcome, and quality of life among patients with cancer. Travel burden—quantified as distance, time, and cost of travel—is magnified in low- and middle-income countries like the Philippines, where radiation therapy (RT) resources ar...
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Veröffentlicht in: | Advances in radiation oncology 2025-02, Vol.10 (2), p.101699, Article 101699 |
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Sprache: | eng |
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Zusammenfassung: | Travel burden negatively impacts the stage at diagnosis, treatment, outcome, and quality of life among patients with cancer. Travel burden—quantified as distance, time, and cost of travel—is magnified in low- and middle-income countries like the Philippines, where radiation therapy (RT) resources are lacking and are inequitably distributed.
We compared Philippine Radiation Oncology Society data and the population census to determine the distribution and density of RT facilities across the country's 17 regions. For distance and travel time, we used the Google Maps route planner to determine the best routes from each province to the nearest private and government RT facility. Travel cost was calculated by multiplying distance by the local price of diesel per liter and the mean fuel economy of passenger vehicles in the Philippines.
There are only 54 RT facilities in the Philippines (0.5 per 1 million population). More than a third are in the National Capital Region (NCR). Four regions do not have an RT facility. Nationally, the average distance to any RT facility is 101.02 km with a travel time of 2.66 hours and a travel cost of PHP 4811.11 ($85.91). Travel burden to any RT facility is the least in NCR and greatest in Visayas. Travel burden to a government RT facility is greater, with an average distance of 136.94 km, travel time of 3.05 hours, and travel cost of PHP 6353.43 ($113.45). Travel burden to a government RT facility is least in NCR and greatest in Mindanao.
The travel burden of RT in the Philippines is significant and varies regionally and by RT facility type (private or government). Data-driven installation of government RT facilities in underserved regions, alternative reimbursement systems to encourage hypofractionation when appropriate, patient subsidies for housing/transportation while on treatment, better public transportation, and patient navigation are needed. |
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ISSN: | 2452-1094 2452-1094 |
DOI: | 10.1016/j.adro.2024.101699 |